Titlebook: Blockchain and Trustworthy Systems; 5th International Co Jiachi Chen,Bin Wen,Ting Chen Conference proceedings 2024 The Editor(s) (if applic

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https://doi.org/10.1057/9780230511804ven the-state-of-art smart contract vulnerability detection methods on a large-scale smart contract dataset based on the Solidity language. The experimental results show that CuVuD’s effectiveness in detecting smart contract vulnerabilities is significantly higher than seven the-state-of-art smart c

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A Mathematical Model of Lexical Diversitykchain transaction patterns and detecting illegal transaction behavior using new heuristic learning methods and graph neural network methods to detect frequent frauds. The system monitors and detects fraudulent activities such as phishing, ICO, price manipulation, money laundering, and illegal fundr

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https://doi.org/10.1057/978-1-137-37262-8have a high priority in carbon emission trading. To ensure that BoodCET does not disrupt carbon markets, we introduce a trading rationality review mechanism to review the rationality of carbon emission trading on the consortium chain. In this work, we implement a prototype of BoodCET and conduct a c

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ScamRadar: Identifying Blockchain Scams When They are Promotingh as Telegram and Twitter. This new way of promotion also introduces an additional attack surface on the blockchain community, with a number of recently-identified scam projects distributed via this channel. Despite prior efforts on detecting scams, no existing works systematically study such promot